Bell Jonathan Schaffer author Columbia University. Computer Science Sheth Swapneel Kalpesh author Columbia University. Computer Science Kaiser Gail E. author Columbia University. Computer Science Columbia University. Computer Science originator contributor text Technical reports New York Department of Computer Science, Columbia University 2011 We present a survey of usage of the popular Massively Multiplayer Online Role Playing Game, World of Warcraft. By mining publicly available data, we collected a dataset consisting of the player history for approximately six million characters, with partial data for another six million characters. This paper focuses on player achievement data in particular, exposing trends in play from this highly successful game. From this data, we present several findings on players' play styles. We correlate achievements with motivations based upon a previously-defined motivation model, and then classify players based on the categories of achievements that they pursued. Experiments show players who fall within each of these buckets can play differently, and that as players progress through game content, their play style evolves as well. Computer science CUCS-046-11 http://hdl.handle.net/10022/AC:P:12172 English NNC NNC 2012-01-11 12:22:58 -0500 2012-01-11 12:32:14 -0500 6164 eng